Sylvia Smullin

Tradeoffs in Data Augmentation: An Empirical Study

Though data augmentation has become a standard component of deep neural network training, the underlying mechanism behind the effectiveness of these techniques remains poorly understood. In practice, augmentation policies are often chosen using heuristics of distribution shift or augmentation divers…